.PHONY: clean data lint requirements

### sync_data_to_s3 sync_data_from_s3 clean-image clean-data clean-docker clean-container 

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# GLOBALS                                                                       #
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PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
PROJECT_NAME0= {{ cookiecutter.repo_name }} 
#by chanson
PROJECT_NAME = $(strip $(PROJECT_NAME0))
#use the created python (make create_environment first ) or local python not the python in docker !!!
PYTHON_INTERPRETER = {{ cookiecutter.python_interpreter }}

ifeq (,$(shell which conda))
HAS_CONDA=False
else
HAS_CONDA=True
endif

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# by Chanson                                                                   #
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export DOCKER=docker

export DOCKER-COMP=docker-compose
# if use build . in docker-compose.yml then create image
export IMAGE_NAME=$(PROJECT_NAME)_nb-server

## rm  container and image !!
clean-docker: clean-container clean-image

## docker-compose stop & remove & rm 
clean-container:
	-$(DOCKER-COMP) stop
	-$(DOCKER-COMP) rm

## remove Docker image
clean-image: 
	-$(DOCKER) image rm $(IMAGE_NAME)

## remove model artifacts
clean-model: 
	rm -rf models/*

## remove files under data
clean-data: 
	rm -rf data/external/*
	rm -rf data/tmp/*
	rm -rf data/processed/*
	rm -rf data/raw/*

# container name form docker-compose.yml in the field of 'service'
export CONTAINER_NAME=$(PROJECT_NAME)_nb-server_1

## show profile of the project
profile: 
	@echo "CONTAINER_NAME: $(CONTAINER_NAME)"
	@echo "IMAGE_NAME: $(IMAGE_NAME)"
	@echo "JUPYTER_PORT: `$(DOCKER) port $(CONTAINER_NAME)`"
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# COMMANDS                                                                      #
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## Install Python Dependencies: use the local python not the python in docker !!!
requirements: test_environment
	pip install -U pip setuptools wheel
	pip install -r requirements.txt

## Make Dataset:use the created python (make create_environment first ) or local python not the python in docker !!!
data: requirements
	$(PYTHON_INTERPRETER) src/data/make_dataset.py

## Delete all compiled Python files
clean:
	find . -type f -name "*.py[co]" -delete
	find . -type d -name "__pycache__" -delete

## Lint using flake8
lint:
	flake8 src

######################################################################
### remoce one # will show this command
### Upload Data to S3
###sync_data_to_s3:
#ifeq (default,$(PROFILE))
#	aws s3 sync data/ s3://$(BUCKET)/data/
#else
#	aws s3 sync data/ s3://$(BUCKET)/data/ --profile $(PROFILE)
#endif

### Download Data from S3
###sync_data_from_s3:
#ifeq (default,$(PROFILE))
#	aws s3 sync s3://$(BUCKET)/data/ data/
#else
#	aws s3 sync s3://$(BUCKET)/data/ data/ --profile $(PROFILE)
#endif

## Set up python interpreter environment: use the created python (make create_environment first ) or local python not the python in docker !!!
create_environment:
ifeq (True,$(HAS_CONDA))
		@echo ">>> Detected conda, creating conda environment."
ifeq (3,$(findstring 3,$(PYTHON_INTERPRETER)))
	conda create --name $(PROJECT_NAME) python=3
else
	conda create --name $(PROJECT_NAME) python=2.7
endif
		@echo ">>> New conda env created. Activate with:\nsource activate $(PROJECT_NAME)"
else
	@pip install -q virtualenv virtualenvwrapper
	@echo ">>> Installing virtualenvwrapper if not already intalled.\nMake sure the following lines are in shell startup file\n\
	export WORKON_HOME=$$HOME/.virtualenvs\nexport PROJECT_HOME=$$HOME/Devel\nsource /usr/local/bin/virtualenvwrapper.sh\n"
	@bash -c "source `which virtualenvwrapper.sh`;mkvirtualenv $(PROJECT_NAME) --python=$(PYTHON_INTERPRETER)"
	@echo ">>> New virtualenv created. Activate with:\nworkon $(PROJECT_NAME)"
endif

## Test python environment is setup correctly
test_environment:
	$(PYTHON_INTERPRETER) test_environment.py

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# PROJECT RULES                                                                 #
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# Self Documenting Commands                                                     #
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.DEFAULT_GOAL := show-help

# Inspired by <http://marmelab.com/blog/2016/02/29/auto-documented-makefile.html>
# sed script explained:
# /^##/:
# 	* save line in hold space
# 	* purge line
# 	* Loop:
# 		* append newline + line to hold space
# 		* go to next line
# 		* if line starts with doc comment, strip comment character off and loop
# 	* remove target prerequisites
# 	* append hold space (+ newline) to line
# 	* replace newline plus comments by `---`
# 	* print line
# Separate expressions are necessary because labels cannot be delimited by
# semicolon; see <http://stackoverflow.com/a/11799865/1968>
.PHONY: show-help
show-help:
	@echo "$$(tput bold)Available rules:$$(tput sgr0)"
	@echo
	@sed -n -e "/^## / { \
		h; \
		s/.*//; \
		:doc" \
		-e "H; \
		n; \
		s/^## //; \
		t doc" \
		-e "s/:.*//; \
		G; \
		s/\\n## /---/; \
		s/\\n/ /g; \
		p; \
	}" ${MAKEFILE_LIST} \
	| LC_ALL='C' sort --ignore-case \
	| awk -F '---' \
		-v ncol=$$(tput cols) \
		-v indent=19 \
		-v col_on="$$(tput setaf 6)" \
		-v col_off="$$(tput sgr0)" \
	'{ \
		printf "%s%*s%s ", col_on, -indent, $$1, col_off; \
		n = split($$2, words, " "); \
		line_length = ncol - indent; \
		for (i = 1; i <= n; i++) { \
			line_length -= length(words[i]) + 1; \
			if (line_length <= 0) { \
				line_length = ncol - indent - length(words[i]) - 1; \
				printf "\n%*s ", -indent, " "; \
			} \
			printf "%s ", words[i]; \
		} \
		printf "\n"; \
	}' \
	| more $(shell test $(shell uname) = Darwin && echo '--no-init --raw-control-chars')
